A Large Language Model-based Multi-Agent Framework to Autonomously Design Algorithms for Earth Observation Satellite Scheduling Problem

The Earth observation satellite scheduling problem (EOSSP) is a complex optimization problem involving the selection, sequencing, and timing of observational tasks to maximize task completion rates while adhering to various constraints. However, effectively solving diverse scheduling scenarios with...

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Veröffentlicht in:	Engineering (Beijing, China)
Hauptverfasser:	Chen, Jiawei, Chen, Yingguo, Pham, Duc Trong, Song, Yanjie, Wu, Jian, Xing, Lining, Chen, Yingwu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2025
Schlagworte:	Automatic algorithm design Earth Observation Satellite Scheduling Large language models Multi-Agent Framework Earth Observation Satellite Scheduling Multi-Agent Framework Large language models Automatic algorithm design
ISSN:	2095-8099
Online-Zugang:	Volltext
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